Instantly analyze keyword density, detect overused phrases, and get actionable SEO recommendations. No login, no data sent to servers — everything runs in your browser.
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Supports .txt, .html, .htm, .md, .csv filesPrimary keyword occurrence by paragraph section
Everything you need to know about keyword density, how Google uses it, and how to write naturally optimized content.
Keyword density is the percentage of times a specific keyword or phrase appears in your content relative to the total word count. It is calculated as: (keyword occurrences / total words) × 100. For example, if "SEO" appears 10 times in a 500-word article, its density is 2%.
Search engines scan your content to understand its topic and relevance. Keyword density is one signal among hundreds. When you use a keyword naturally throughout your content, search engines can more confidently categorize your page. However, density alone does not determine ranking — context, semantics, and user intent matter far more.
Most SEO professionals recommend keeping primary keyword density between 1% and 2.5%. Going above 3% can trigger spam filters. Below 0.5% may signal weak topical relevance. Secondary keywords and LSI terms should appear naturally at lower densities. There is no single perfect number — write for readers, not algorithms.
Keyword stuffing is the practice of overloading a webpage with keywords in an attempt to manipulate search rankings. Examples include: hiding keywords in white text, repeating keywords unnaturally, stuffing alt attributes with keywords, and writing content that reads awkwardly due to excessive keyword repetition. Google penalises keyword stuffing and can de-index affected pages.
Google’s algorithms have evolved far beyond simple keyword matching. Today, Google uses BERT, MUM, and other NLP models to understand the meaning and context of your content. It analyses entity relationships, semantic relevance, topical authority, and user engagement signals. Keywords are still important as anchors for topic identification, but their density matters far less than natural usage.
Include your primary keyword in: the title tag, meta description, H1, introduction (first 100 words), conclusion (last 100 words), and at least two subheadings. Use natural variations, synonyms, and related phrases throughout the body. Prioritise readability — content written for humans typically achieves natural keyword distribution without effort.
Your primary keyword is the main term you want to rank for. Secondary keywords are related terms, synonyms, and supporting phrases that reinforce your topic. A strong article typically has one primary keyword at 1–2% density and several secondary keywords at 0.3–1% density. This creates topical depth that signals expertise to search engines.
Write your content first, then check keyword density. If density is too low, find places where the keyword fits naturally. If too high, replace some instances with synonyms. Use your keyword in: the first sentence, the conclusion, at least one H2, the image alt text, and the URL. Focus on answering the user’s question comprehensively.
Avoiding these common errors will protect and improve your rankings: do not repeat exact-match keywords unnaturally, do not ignore semantic keywords and LSI terms, do not write content that prioritises density over clarity, do not focus on a single keyword while ignoring related topics, and do not treat keyword density as the only SEO metric that matters.
Modern SEO is about topical authority and semantic relevance. Google’s Helpful Content system rewards content that demonstrates genuine expertise and satisfies user intent. Rather than fixating on keyword density percentages, focus on: covering the topic comprehensively, answering related questions, using natural language, and providing unique value. Our tool helps you find the balance.
N-gram analysis examines phrases of different lengths in your text. Unigrams (1 word) show the most common individual terms. Bigrams (2 words) and trigrams (3 words) reveal frequently used phrases and potential long-tail keywords. Analyzing n-grams helps you identify unintentional phrase repetition, discover implicit keyword patterns, and optimize for conversational and voice search queries.
Paste your full article, product description, or webpage content. Enter your primary target keyword to get an accurate density score. Review the keyword table to spot overused phrases. Check the SEO Health Score for instant recommendations. Use the distribution chart to ensure your keyword appears evenly throughout the content — not clustered in one section.
